Dive into the world of regularization with my tutorial, featuring Ridge regression (L2 penalty) and LASSO regression (L1 penalty). Explore Mean Squared Error (MSE ...

Generalization measures a model's ability to predict accurately on unseen data from the same distribution. Overfitting occurs when a model performs well on training data but fails to generalise to new ...

Specific problems have been studied simultaneously by different areas, using their own concepts and definitions. When each area defines a solution to this problem, it may result in similar, analogous, ...

Abstract: In this paper, a method for orthogonal tensor recovery based on non-convex regularization and rank estimation (OTRN-RE) is proposed, which aims to accurately recover the low-rank and sparse ...